tl;dr: We are an early-stage startup looking for a passionate, experienced ML engineer to join us in building Ampersand from the ground up. At Ampersand, we're creating tools that give Customer Success teams research superpowers. Details about us, the role, and interview process below.

Salary: CAD$120,000 - CAD$156,000 Equity: 0.2% - 2.0% Location: Fully remote, anywhere in Canada (slight preference for EST)

👨🏿‍💻🧑🏻‍💻 What we do

Glowstick is a mighty, but friendly, text/audio/video analysis platform that lets non-technical Customer Success teams get meaningful qualitative insights from their customer conversations (starting with Zoom calls), so they can uncover mutual value (and the revenue that follows).

We call this "research superpowers", because our approach uses AI/ML to unlock people's ability to scale themselves, and the autonomy to choose when or whether to.

Join us on our quest to product-market fit, as we ship the very first versions of Glowstick!

đź’Ľ The role

Joining this early means you'll have the opportunity to have a massive impact on our product, culture, and direction. You’ll take on complexity and ambiguity, and make hard decisions that will define the shape of a product that hasn’t been built before. You’ll mainly be working with Anwar, our CTO, but because we are a small and co-creative team you’ll collaborate with everyone.

What awesome looks like

  1. You set the standard for our ML models, polish, and performance to ship products and features our customers love.
  2. You can quickly build, ship and test (with real people!) the efficacy of new ideas for the current and future direction of the product.
  3. You are interested in, when the time comes, helping us grow a team we'll love working with.

Who we are looking for

We believe that talented people come from all sorts of backgrounds so we don't look for specific qualifications. We do need you to be able to demonstrate that you have a good understanding of NLP, ML and software engineering fundamentals and:

  1. Have 2+ years of experience and proven ability to developing and ship ML models to production (ideally in a commercial environment); part of your work will be defining our stack.
  2. Have experience building NLP models that process, cluster, label and extract insights from conversational data
  3. Are happy to try things out to validate new features, and move on if they no longer solve a problem.
  4. Are comfortable with taking on ambiguous, open-ended problems and enjoy finding creative ways to solve them efficiently and effectively for our customers.
  5. Are excited for a front-row seat into a fast growing, early-stage company. The only constant is change!